You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Traceback (most recent call last):
File "test_from_init_pose_pickle.py", line 390, in <module>
main()
File "/usr/local/lib/python3.8/dist-packages/torch/autograd/grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "test_from_init_pose_pickle.py", line 343, in main
outputs = model(Gs=pose_input, images=images_input, depths_fullres=depths_input, \
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/gin/config.py", line 1605, in gin_wrapper
utils.augment_exception_message_and_reraise(e, err_str)
File "/usr/local/lib/python3.8/dist-packages/gin/utils.py", line 41, in augment_exception_message_and_reraise
raise proxy.with_traceback(exception.__traceback__) from None
File "/usr/local/lib/python3.8/dist-packages/gin/config.py", line 1582, in gin_wrapper
return fn(*new_args, **new_kwargs)
File "/poselab/projects/bin-picking/gpose_cir/pose_models/raftse3.py", line 214, in forward
Gs, _, _ = MoBA(target, weight, Gs, depths, intrinsics, num_solver_steps, ii, jj)
File "/poselab/projects/bin-picking/gpose_cir/utils/geom/ba.py", line 217, in MoBA
poses, depths, intrinsics = _step_moba(target, weight, poses, depths, intrinsics, ii, jj)
File "/poselab/projects/bin-picking/gpose_cir/utils/geom/ba.py", line 203, in _step_moba
dx = DenseSystemSolver.apply(_H, _v)
File "/poselab/projects/bin-picking/gpose_cir/utils/geom/ba.py", line 128, in forward
U = torch.cholesky(H)
RuntimeError: cholesky: (Batch element 0): The factorization could not be completed because the input is not positive-definite (the leading minor of order 4 is not positive-definite).
I got this problem using the given weights. I guess there might be something wrong with my data. Since I'm running on T-LESS dataset and there are not models directory, I symlink it to 'models_reconst'. Am I using the right models for rendering or is there any way to find the cause of this problem?
The text was updated successfully, but these errors were encountered:
I got this problem using the given weights. I guess there might be something wrong with my data. Since I'm running on T-LESS dataset and there are not
models
directory, I symlink it to 'models_reconst'. Am I using the right models for rendering or is there any way to find the cause of this problem?The text was updated successfully, but these errors were encountered: